Disagreement Bonus

Problem

Compute an ensemble disagreement bonus as the range of the ensemble predictions: max(predictions) - min(predictions). An empty ensemble returns 0.0.

Hint

Where ensemble members disagree, the agent is uncertain and exploration pays off.

case 1

in: [[1,2,3]]

expected: 2

case 2

in: [[5,5]]

expected: 0

case 3

in: [[]]

expected: 0

case 4

in: [[-1,1]]

expected: 2

Starter codePython

def disagreement_bonus(predictions):
    # Your code here
    pass

4 test cases · run your code against them in the editor